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Products that do what Sapient – AI Agent for Unreal Engine: Code, Blueprints, Game AI does

After years of rebuilding the same core systems, chasing down bugs across code to assets, constantly losing momentum to engine blockers, and using the latest AI tools, we started wondering, “how much faster could we build if we embedded AI directly into our workflow?” That question turned into Sapient. Sapient is an AI-native dev tool embedded into Unreal as a plugin. Sapient is best for gameplay or systems engineers and technical designers, and it supports prototyping through production workflows including: gameplay logic generation (C++, Blueprints, Behavior Trees), Unreal feature…

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    Build unreal games with AI agents

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    ToolJet154

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    Velane95

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    Build, customize, deploy – AI Agents your way with OAK

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    Cursor for game developers

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    Lunen.ai112

    Build AI agents your whole team can run, and control

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    Your agent's personal remote computer and drive

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    Vibe-code custom-ready AI agents just by chatting

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    Kuberns40

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  19. 19TF

    We've built the first General AI Agent that works seamlessly across multiple AI platforms, e.g. ChatGPT, Claude, Cursor, and more. Try it today at no cost (no API credits needed), and join our waitlist for Flow, our visual designer that lets you customize it or build your own agent using just natural language—no coding required. #Why we made this We built this after experiencing firsthand the frustration of designing AI agents that require coding or the use of platforms with steep learning curves, only to find ourselves tied to these solutions. Our team spent months in stealth developing a…

    2025 · orkestralai.com

  20. 20FA

    Founder here. I built NEO, an AI agent designed specifically for AI and ML engineering workflows, after repeatedly hitting the same wall with existing tools: they work for short, linear tasks, but fall apart once workflows become long-running, stateful, and feedback-driven. In real ML work, you don’t just generate code and move on. You explore data, train models, evaluate results, adjust assumptions, rerun experiments, compare metrics, generate artifacts, and iterate; often over hours or days. Most modern coding agents already go beyond single prompts. They can plan steps, write files, run…

    Jan 2026 · marketplace.visualstudio.com

  21. 21RA

    Hi HN folks, I have been building AI agents for quite some time now. The shift has gone from LLM + Tools → LLM Workflows → Agent + Tools + Memory, and now we are finally seeing true agency emerge: agents as systems composed of tools, command-line access, fine-grained system capabilities, and memory. This way of building agents is powerful, and I believe it is here to stay. But the real question is: are the systems powering these agents ready for that future? I do not think so. Using Docker for a single agent is not going to scale well, because agents need to be lightweight and fast. LLMs…

    Mar 2026 · github.com

  22. 22RA

    Hi HN! Sean from MindStudio here. I wanted to share something we've been working on that I think introduces some new ideas into the "AI coding agent" space. Remy is an AI agent that builds full-stack TypeScript apps from a spec written in a new flavor of annotated markdown. The spec has two layers: prose describing what the app does, and annotations that carry the technical precision (data types, edge cases, validation rules, code snippets). The agent then "compiles" this into code: backend methods, typed schemas, frontends, test scenarios, and everything else are derived artifacts of the…

    Apr 2026 · remy.msagent.ai

  23. 23EB

    Hi HN — I built Elf0, a command-line tool to define and run AI agent workflows in YAML. It helps you iterate on small multi-step "agents" without scaffolding a whole codebase. The agent patterns described in Anthropic's article was an inspiration: https://www.anthropic.com/engineering/building-effective-age... I then used Nvidia's AgentIQ YAML spec as inspiration. Why: I keep bumping into tasks where a single prompt isn’t enough (e.g., extracting quote data from an insurance PDF). Defining the workflow in YAML makes it easy to version prompts, parameters and logic, and to…

    2025 · elf0.com

  24. 24WI

    At Laminar (https://github.com/lmnr-ai/lmnr) we're building open source AI observability platform in Rust. We obsess over instrumentation DX for our Python and TS SDKs and in this new blog we outline how we made the most seamless way of instrumenting recently released claude agent sdk

    Dec 2025 · laminar.sh

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